Abeer Ali Alnuaim
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Co-authors
- Wesam Atef HatamlehMohammed ZakariahHussam TaraziAseel AlhadlaqRajnish RatnaPrashant Kumar ShuklaAlmetwally M. MostafaHafiz Tayyab Rauf
- Topics
- Speech and Audio Processing (3 papers)Mobile Learning in Education (3 papers)Network Security and Intrusion Detection (3 papers)
- Journals
- Brain ResearchIEEE AccessSensors
- Partner nations
- Saudi ArabiaIndiaUnited States
In The Last Decade
Abeer Ali Alnuaim
27 papers receiving 508 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 132
- Signal Processing 101
- Experimental and Cognitive Psychology 100
- Computer Vision and Pattern Recognition 97
- Plant Science 90
Countries citing papers authored by Abeer Ali Alnuaim
This map shows the geographic impact of Abeer Ali Alnuaim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Abeer Ali Alnuaim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer Ali Alnuaim more than expected).
Fields of papers citing papers by Abeer Ali Alnuaim
This network shows the impact of papers produced by Abeer Ali Alnuaim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Abeer Ali Alnuaim. The network helps show where Abeer Ali Alnuaim may publish in the future.
Co-authorship network of co-authors of Abeer Ali Alnuaim
This figure shows the co-authorship network connecting the top 25 collaborators of Abeer Ali Alnuaim. A scholar is included among the top collaborators of Abeer Ali Alnuaim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abeer Ali Alnuaim. Abeer Ali Alnuaim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 37 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 60 | |
| 15 | 48 | |
| 16 | 32 | |
| 17 | 3 | |
| 18 | 40 | |
| 19 | 3 | |
| 20 | Location-based mobile learning for higher education students - devloping an application to support critical thinking | 1 |
About Abeer Ali Alnuaim
Abeer Ali Alnuaim is a scholar working on Signal Processing, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 571 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Mobile Learning in Education (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Signal Processing (101 citations), Experimental and Cognitive Psychology (100 citations) and Human-Computer Interaction (31 citations). Abeer Ali Alnuaim has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Wesam Atef Hatamleh, Mohammed Zakariah, Hussam Tarazi, Aseel Alhadlaq, Rajnish Ratna, Prashant Kumar Shukla, Almetwally M. Mostafa, Hafiz Tayyab Rauf, Dilbag Singh and Heung-No Lee. Their work appears in journals such as Brain Research, IEEE Access and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.